src-sesiones-mcp

src-sesiones-mcp

MCP server that generates Word documents for biweekly sessions from an institutional template, with tools to fetch template info, create the document, and check file availability.

Category
Visit Server

README

SRC Sesiones Quincenales — Plugin MCP v0.1

Primer prototipo del complemento que convierte la plantilla institucional de sesiones quincenales en una herramienta invocable desde un host MCP (por ejemplo, ChatGPT cuando la cuenta/workspace permita apps MCP personalizadas).

Qué hace esta versión

  • Conserva MASTER_SRC_TEMPLATE.docx como plantilla maestra.
  • Expone herramientas MCP para consultar campos y generar el DOCX.
  • Mantiene negrita selectiva: solo etiquetas/subtítulos.
  • Convierte los subapartados de Inicio, Desarrollo y Cierre en párrafos Word reales, con separación visual.
  • Sirve el Word generado mediante /download/{file_id}.
  • Incluye configuración base para Render.

Herramientas MCP

  • get_template_info: devuelve los campos y reglas del formato.
  • generate_quincena_docx: recibe los campos redactados y fabrica el Word.
  • get_generated_document: comprueba si un archivo generado sigue disponible.

Ejecutar localmente

Requiere Python 3.10+.

python -m venv .venv
# Windows
.venv\\Scripts\\activate
# macOS/Linux
source .venv/bin/activate

pip install -r requirements.txt
uvicorn server:app --host 127.0.0.1 --port 8000

Salud: http://127.0.0.1:8000/health MCP: http://127.0.0.1:8000/mcp

Para probar con MCP Inspector:

npx @modelcontextprotocol/inspector@latest

Despliegue en Render

El repositorio ya trae render.yaml. Tras desplegar, configura PUBLIC_BASE_URL con la URL pública, por ejemplo https://src-sesiones-mcp.onrender.com.

El endpoint que se conectará al host MCP será:

https://TU-SERVICIO.onrender.com/mcp

Estado / próximo paso

v0.1 usa los seis bloques de sesión preparados en la plantilla prototipo. La próxima versión debe clonar o eliminar bloques de sesión dinámicamente según la cantidad real de clases de la quincena y luego incorporar la interfaz web opcional.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured